{"id":"W4413465354","doi":"10.1109/siu66497.2025.11111767","title":"Secrecy Performance in Dual-Hop EH-NOMA Networks with Transmit Antenna Selection and Generalized Selection Combining","year":2025,"lang":"en","type":"article","venue":"","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Noma; Secrecy; Computer science; Selection (genetic algorithm); Hop (telecommunications); Computer network; Dual (grammatical number); Telecommunications; Computer security; Artificial intelligence; Telecommunications link","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001966224,0.0009173891,0.0008934797,0.0006487642,0.0008011154,0.00117144,0.0006000492,0.0008138042,0.0005550981],"category_scores_gemma":[0.004600213,0.0004329686,0.0004703985,0.0009229172,0.001760458,0.001413526,0.001454913,0.0005740605,0.000176571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009845847,"about_ca_system_score_gemma":0.0007355199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001802731,"about_ca_topic_score_gemma":0.001678761,"domain_scores_codex":[0.9986625,0.0006220479,0.00005053214,0.0001279624,0.0003029963,0.0002340892],"domain_scores_gemma":[0.9933095,0.00511962,0.0006203271,0.0002794234,0.0005555091,0.0001156175],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003362939,0.0000492587,0.002779092,0.000111157,0.00008815304,0.000443981,0.0001383119,0.9703553,0.006647382,0.01102484,0.0002184694,0.007807871],"study_design_scores_gemma":[0.00001513378,0.0001680167,0.0008033154,0.00001136895,0.00003716935,0.0001957517,0.00009201247,0.99032,0.00349253,0.00471807,0.0001227396,0.00002384587],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7099784,0.001843811,0.2765887,0.0004391958,0.00006074833,0.00004801626,0.0001794932,0.0001828342,0.01067882],"genre_scores_gemma":[0.9956234,0.0002450816,0.003508483,0.0000204867,0.000009613696,0.00001403179,0.00002268406,0.00000527829,0.000550982],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001966224,"threshold_uncertainty_score":0.01039851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005998572050424721,"score_gpt":0.2058609981284314,"score_spread":0.1998624260780067,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}